基于健康特征参数的CNN-LSTM&GRU组合锂电池SOH估计
戴彦文, 于艾清

Combined CNN-LSTM and GRU based health feature parameters for lithium-ion batteries SOH estimation
Yanwen DAI, Aiqing YU
表2 四种方法的SOH估计结果
Table 2 SOH estimation results for the four methods
型号预测起点SOHCNN-LSTM&GRUCNN-LSTMLSTMGRU
ESOHErrEErr/%ESOHErrEErr/%ESOHErrEErr/%ESOHErrEErr/%
B5803131002839.726516.126516.1
B680191815.216315.714526.315421.1
B780666711.56423.06246.16246.1
B1880323313.12939.424825.027515.6